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SimBiology 4.1

Latest Features


Version 4.1

Released: 1 Mar 2012
 

Version 4.1, part of Release 2012a, includes the following enhancements:

  • Configurable output times for simulation and parameter estimation
  • Simultaneous fits using nonlinear regression for heterogeneously dosed patients
  • Interactive Simulation Viewer to explore the effect of initial parameter, species, or compartment values on simulation results
  • Weighted least squares fitting
  • Support for SBML level 2 version 4

See the Release Notes for details.


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Version 4.0

Released: 1 Sep 2011
 

Version 4.0, part of Release 2011b, includes the following enhancements:

  • Parameter estimation performance and robustness enhancements
  • Covariate modeling for nonlinear mixed-effect models
  • Standard errors for nonlinear regression, including nonlinear mixed-effect models
  • Sensitivity analysis for models with discontinuities

See the Release Notes for details.

Version 3.4

Released: 8 Apr 2011
 

Version 3.4, part of Release 2011a, includes the following enhancements:

  • Redesigned desktop, supporting streamlined model-building workflow, iterative workflows, and comparison of analysis results
  • Arbitrary time units for simulation time
  • Parameter estimation of initial conditions for species and compartments
  • Robust parameter estimation
  • Calculation of weighted residuals for population-fitting tasks

See the Release Notes for details.

Version 3.3

Released: 3 Sep 2010
 

Version 3.3, part of Release 2010b, includes the following enhancements:

  • Support for error models when performing a population fit using the sbionlmefit or sbionlmefitsa function
  • Support for covariate analysis
  • Ability to simultaneously fit multiple responses
  • Support for incorporating time lags for doses into models
  • Dimensionless units

See the Release Notes for details.

Version 3.2

Released: 5 Mar 2010
 

Version 3.2, part of Release 2010a, includes the following enhancements:

  • Stochastic approximation expectation-maximization (SAEM) algorithm for fitting of population data
  • New mode for accelerating simulations
  • Support for application of dosing schedules to a model
  • Additional features for parameter fitting including parameter transformations, error models, and multiple dosing
  • Improved support for importing NONMEM® formatted files

See the Release Notes for details.

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